Using Real-World Data to Better Understand Inflammatory Bowel Disease (IBD)

Ulcerative colitis (UC) and Crohn’s Disease (CD) are the two main types of Inflammatory Bowel Disease (IBD), which affects up to 3 million people in the U.S. alone with no known cure.

UC and CD are lifelong conditions that cause chronic inflammation in the intestines, leading to pain and a variety of symptoms in those affected. Research continues around root causes, diagnosis, and best treatment protocols. The OM1 PremiOM UC and CD datasets look to support these research efforts.
● The PremiOM UC dataset is a continually updating database of 12,800+ patients prospectively followed with deep clinical, laboratory and other data, such as longitudinal outcomes, Mayo scores, disease flares and remissions, and treatment response.
● The PremiOM CD dataset is a continually updating database of 13,000+ patients prospectively followed with deep clinical, laboratory and other data, such as longitudinal outcomes, CDAI scores, disease flares and remissions, and treatment response.

In order to build these premium datasets for IBD, certain symptoms are required. These symptoms are documented across clinical notes. Large scale text extraction is required to obtain important information such as symptom names, symptom assertions, and dates for symptoms.

The Text Intelligence team at OM1 was able to use John Snow Labs spark-nlp healthcare technology, to help extract hard to get symptoms from millions of these clinical documents.

This presentation will discuss what components of the John Snow Labs technology helped accomplish this task as well as lessons learned from using John Snow Labs technologies.

About the speaker
Amy-Heineike

 Dr. Gary Curhan

CMO at OM1

Dr. Gary Curhan is the CMO at OM1, Inc. He is a practicing nephrologist in Boston. He has published widely on the epidemiology of many medical conditions including cardiovascular disease, hypertension, kidney stones, gout, hearing loss and others.

His research in several large cohort studies, including the Nurses’ Health Studies and the Health Professionals Follow- Up Study, focuses on the prevention of common diseases by investigating scientifically and clinically important questions and exploring the role of modifiable factors and has been supported continuously for over 25 years by the National Institutes of Health.

He was the Editor-in-Chief of the Clinical Journal of the American Society of Nephrology, a leading nephrology journal. He has served on many national and international advisory committees, including the National Institutes of Health.

He has mentored numerous individuals, many of whom now hold leadership positions at major academic institutions and public companies.

Dr. Curhan is a graduate of Harvard Medical School and Harvard School of Public Health. Prior to joining OM1, he was a Professor of Medicine at Harvard Medical School and Professor of Epidemiology at Harvard School of Public Health.

 

Amy-Heineike

Ryan Boch

Senior Software Engineer at OM1

Ryan Boch is a Senior Software Engineer at OM1 and part of the greater Text Intelligence Team.

Ryan has 10 years’ experience in analytics spending time as a Data Analyst and Data Scientist at Oracle Cerner before joining OM1.

Ryan has experience across a broad spectrum of analytics including natural language processing. At OM1, Ryan focuses on creating solutions to solve large scale complex NLP problems for text extraction and pattern recognition as well as maintaining the internal text extraction platform.

Ryan graduated from the University of Kansas with a BS in Mathematics and a MS in Applied Statistics.

 

NLP-Summit

When

Online Event: October 3-5, 2023

 

Contact

nlpsummit@johnsnowlabs.com

Presented by

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